Lead Integrations Engineer - G&A Systems
Klaviyo Boston, MAEst. Est. USD 175,000–230,000 / yearSenior
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Python
- Sql
- Llm
- Oracle
- Erp
- Audit
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Klaviyo is building an AI-first company—and that starts with how we support and scale our people.
We’re looking for a Senior Integrations Engineer to manage our integrations within our Finance Technology (G&A FinTech) team. As an early leader in this space, you’ll reimagine how our Finance teams operate in an AI-first world by shaping our architecture, standards, and long-term vision.
You’ll partner across all Finance functions - Accounting, Tax, Treasury, FP&A, Procurement, and Internal Audit, as well as adjacent technology teams like Corporate IT, Data, and GTM Systems, to ensure our back‑office stack is reliable, well‑integrated, compliant, and ready for a public, AI‑forward SaaS business. We own the roadmap, health, and governance of platforms including our ERP and financial systems (e.g., NetSuite/Oracle), procure‑to‑pay (e.g.,Zip), revenue and billing systems, and related integrations and automation. This role is not just about using integration platforms but with an AI & Automation mindset.
What You’ll Be Doing
AI-First Finance Systems & Architecture
Design & Integrate using Workato supporting all business critical projects
Support all business critical integrations resolving ME/QE and operational issues
Lead SOX audits and drive it to closure
Pursue other automation opportunities that elevate business productivity
Reimagine core Finance workflows (accounting, procurement, deal desk approvals, revenue, ME/QE close cycle etc., ) through an AI-first lens, not just incremental automation
Design and build AI-powered workflows, copilots, and agents that automate and augment Finance processes
Enable AI Use Cases (copilots, assistants, automated workflows) that drive faster execution and better decision-making for Finance teams
Collaborate with stakeholders to translate business problems into scalable AI & Automation solutions
Driving an AI-First Operating Model
Identify high-leverage opportunities to replace manual workflows with Automation and AI-native solutions
Define and track success metrics tied to efficiency gains, time savings, and operational effectiveness
Partner with Internal Audit, Security, Legal, and Global IT to ensure compliant and ethical AI deployment
Cross-Functional Collaboration & Enablement
Work closely with Security, Global IT, and GTM Systems to align on shared infrastructure and standards
Enable Finance teams by democratizing Workato and to leverage AI by building:
Reusable frameworks and workflows
Playbooks and training materials
Help non-technical stakeholders confidently use and iterate Workato and other platform tools
What Makes You a Great Fit
Passion and Curiosity to experiment and reimagine Order to Cash, Procure to Pay and Record to Report workflows
Minimum 5+ years of engineering or data engineering experience, with 2+ years building Workato, AI/ML or LLM-powered delivering tangible business outcomes
Proven ability to set technical direction and build 0→1 systems with meaningful organizational impact
Strong experience with but not limited to:
Workato or other comparable platform
Python, SQL, and modern APIs
LLM platforms (OpenAI, Claude, Gemini, etc.)
Designing AI-powered workflows, agents, or copilots
Integrating to Finance Systems through Runlayer and MCPs
Experience integrating with enterprise Financial SaaS systems
Experience designing scalable systems, automation frameworks
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